Human blood is one of the most valuable and irreplaceable goods in modern medicine. Although its necessity increases daily, one of the most significant challenges we have to overcome is a scarcity of willing blood donors. Volunteer motives and attitudes have been studied for decades, but it is now considered vital to grasp the many aspects that will increase the effectiveness of attracting new blood donors. This study focuses on the impact of emotional arousal produced by advertising messages, as well as the determining role of altruistic and egoistic incentives in deciding behavior. We also incorporated the element of personality to investigate how personality traits influence behavioral intention to donate blood. To this end, a quantitative non-experimental correlational 2 × 2 experimental design (positive vs. negative emotional appeal; altruistic vs. egoistic message) was implemented with the participation of 462 respondents who were shown a total of 12 advertisements (ads) promoting blood donation. The data were analyzed using structural equation modeling, with a focus on the direct impacts on donation intentions, the role of emotional arousals and attitude towards the ads as mediators and the moderating effect of the message. The empirical results of our hypotheses revealed that only Honesty-Humility had a strong direct impact on behavioral intention to donate, while Emotionality and Agreeableness did not have any direct effect. On the other hand, attitudes towards advertisements significantly and directly influenced positive and negative emotional arousals, respectively. Furthermore, if we consider these two variables alone, they can be found to exert a direct impact on BI. Mediation analysis showed that attitudes towards the advertisements and emotional arousals partially mediated the relation between Honesty-Humility and Behavioral Intention, thus confirming partial mediation. With respect to Emotionality and Agreeableness, mediation was found to be full since these factors only affected BI through a mediated path, which confirmed full mediation. Furthermore, the moderation analysis highlighted that the type of message (altruistic vs. egoistic) significantly moderated the relationship between both emotional arousals and BI. In particular, positive emotional arousal\'s influence is strengthened when it is aligned with altruistic messages, while negative emotional arousal\'s influence is weakened if it follows an altruistic message. These findings illustrate that using positive emotions will be more beneficial for increasing people\'s donation intentions than bringing negative ones, which implies that message framing has a hidden impact on donation decisions.

As the esports industry continues its rapid growth, new opportunities such as the metaverse and non-fungible tokens (NFTs) are emerging, driven by the inherently digital nature of esports. To better understand viewer engagement in this evolving landscape, this study investigates viewer behavior in the context of watching esports. A survey was conducted on a sample of 312 esports viewers in South Korea, and the data was subsequently analyzed using structural equation modeling. The study\'s findings indicate that hedonic motivation is significantly correlated with attitudes toward esports and the utilization of esports in the metaverse. Furthermore, perceived enjoyment was found to significantly positively influence attitudes toward esports, the metaverse expansion of esports, and the use of esports via NFTs. Notably, attitudes toward esports showed a significant relationship with continuance intention. Both subjective norms and perceived behavioral control were also found to significantly influence continuance intention.

UNASSIGNED: During adolescence, a critical phase in human life, the groundwork for a healthful future is established. Physical inactivity poses a significant risk factor for non-communicable diseases (NCDs) and related mortality worldwide. To assess adolescents\' behavioral intentions regarding regular physical activity, the Theory of Planned Behavior (TPB) examines \'Attitude,\' \'Subjective norm,\' and \'Perceived behavioral control.\' Utilizing TPB, this study focuses on evaluating the impact of a school-based health promotion intervention on behavioral intentions toward physical activity among urban adolescents in West Bengal, India.
UNASSIGNED: A school-based nonrandomized controlled interventional study with parallel group design was conducted among adolescents aged between 12 and 16 years. Behavioral intention towards performing regular physical activity was determined with the measurements of the constructs from the TPB. Cluster analysis was conducted using measurements from both the intervention and control groups. Participants with higher mean scores in the constructs were classified as intenders, while the rest were considered non-intenders. The intervention\'s impact was evaluated by calculating the Relative Risk (RR) through a generalized linear model with robust standard error estimates, to ascertain the probability of belonging to the higher intention cluster.
UNASSIGNED: Following the intervention, construct-wise scores improved significantly, particularly the perceived behavioral control mean score in the intervention group. The Relative Risk (RR) of becoming an intender for regular physical activity in the intervention group was 1.24 (95% CI: 1.04-1.48) when compared to the control group.
UNASSIGNED: Health Promoting Schools has been recognized as a strategic and cost-effective vehicle to promote positive development and healthful living, and the current evidence suggests they can effectively reduce the emergence of significant NCD risk factor like physical inactivity. Schools must establish strong partnerships with diverse stakeholders to address barriers beyond the school environment and enhance their control over critical issues.

Widespread and indiscriminate use of pesticides has become one of the most important environmental and public health problems around the world. This study was conducted with the aim of applying the theory of planned behavior model to investigate the knowledge, attitude, and behavior of tomato growers in the face of pesticides in agricultural lands located in Kurdistan province, western Iran. We included 300 tomato growers in this study and they filled up a standard TPB questionnaire containing questions about basic information, knowledge, attitude and behavior about pesticides and their actions for disposing of the residual spray solution, washing place of pesticide sprayer, and the disposal of water from washing the equipment. Most of the respondents, 86.7 %, had not participated in promotional classes on how to dispose of the residual solution. Approximately 46.15, 38.46, and 15.39 % of pesticides contained moderately toxic, slightly toxic and practically non-toxic compounds, respectively. More than two-thirds (89 %) of the tomato growers stated that they leave the water from washing the equipment in the field. In addition, among the three variables of TPB, attitudes had the highest score (3.38), which indicated the positive to relatively neutral attitude of farmers towards the safe use of pesticides. These findings can be useful for planners and environmental organizations to make effective interventions to reduce environmental pollution caused by pesticides. Since the incorrect use of pesticides is one of the important environmental and health factors, education and awareness programs can help farmers to consider the correct use of pesticides and environmental protection more.

This study explores the factors influencing users\' behavioral intentions, attitudes and actual adoption of quick response (QR) mobile payment in the least developed country (LDC) of Bangladesh, by extending the original unified theory of acceptance and use of technology (UTAUT) model. The study conducts a mixed-methods investigation by combining the partial least squares (PLS) and focus group discussion (FGD) methods to empirically evaluate the research model and cross-validate the findings. Using purposive sampling, data were gathered from 412 respondents, followed by 10 respondents who took part in the FGD, who all met the sample criteria. The study findings indicate that performance expectancy, effort expectancy, and social influence significantly positively influence users\' behavioral intention, while self-concept, perceived self-efficacy, and habit substantially influence their attitudes towards using QR mobile payments. The findings also confirm a positive effect of users\' attitudes toward using QR mobile payment on both behavioral intention and actual use, and a positive effect of behavioral intention on the actual use of QR mobile payments. These findings offer several important theoretical and managerial implications.

BACKGROUND: The implementation of Electronic Health Record (EHR) systems is a critical challenge, particularly in low-income countries, where behavioral intention plays a crucial role. To address this issue, we conducted a study to extend and apply the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model in predicting health professionals\' behavioral intention to use EHR systems.
METHODS: A quantitative research approach was employed among 423 health professionals in Southwest Ethiopia. We assessed the validity of the proposed model through measurement and structural model statistics. Analysis was done using SPSS AMOS version 23. Hypotheses were tested using structural equation modeling (SEM) analysis, and mediation and moderation effects were evaluated. The associations between exogenous and endogenous variables were examined using standardized regression coefficients (β), 95% confidence intervals, and p-values, with a significance level of p-value < 0.05.
RESULTS: The proposed model outperformed previous UTAUT models, explaining 84.5% (squared multiple correlations (R2) = 0.845) of the variance in behavioral intention to use EHR systems. Personal innovativeness (β = 0.215, p-value < 0.018), performance expectancy (β = 0.245, p-value < 0.001), and attitude (β = 0.611, p-value < 0.001) showed significant associations to use EHR systems. Mediation analysis revealed that performance expectancy, hedonic motivation, and technology anxiety had significant indirect effects on behavioral intention. Furthermore, moderation analysis indicated that gender moderated the association between social influence, personal innovativeness, and behavioral intention.
CONCLUSIONS: The extended UTAUT3 model accurately predicts health professionals\' intention to use EHR systems and provides a valuable framework for understanding technology acceptance in healthcare. We recommend that digital health implementers and concerned bodies consider the comprehensive range of direct, indirect, and moderating effects. By addressing personal innovativeness, performance expectancy, attitude, hedonic motivation, technology anxiety, and the gender-specific impact of social influence, interventions can effectively enhance behavioral intention toward EHR systems. It is crucial to design gender-specific interventions that address the differences in social influence and personal innovativeness between males and females.

This paper presents the impact of using virtual reality (VR) in education and focuses on the main factors that affect the behavioral intention of using this new technology for the benefit of both professors and students. As part of our research methodology, we conducted a survey based on the Technology Acceptance Model and used partial least squares structural equation modelling. The results show that the intention to use VR technology in education is influenced by both usage satisfaction and the task-technology fit. The system quality of the VR technology proved to be important in influencing both the task-technology fit and perceived usefulness. The findings are useful for professors considering the adoption of new technologies that might improve the efficiency of learning for their students. Additionally, managers of educational institutions can use these insights to direct investments towards this type of innovation, which appeals to newer generations.

Placeness is believed to play a significant role in enhancing the well-being and place-use of individuals, contributing profoundly to how spaces are experienced and interacted with. Despite its perceived importance, there is ongoing debate and insufficient clarity about how exactly placeness influences people\'s behavior. This study aims to bridge this gap by theorizing and investigating the pathways from placeness to people\'s behavioral intentions, emphasizing the roles of personal place attachment and public place image as pivotal mediators in this relationship. To explore these dynamics, we conducted a survey in Japan, examining the complex interplay between placeness and behavioral intentions, given their rich cultural heritage and modern urban pressures. We employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach for path analysis. The analysis suggests that placeness influences behavioral intention through personal place attachment. While placeness does affect public place image, this public image does not have an impact on behavioral intention. The results demonstrated that an individual\'s activities, experiences, and cognition of a place are significant factors in creating the intention to engage in word-of-mouth, recommendation, and revisiting behaviors. Policymakers, urban planners, and designers need to understand how to foster people\'s behavioral intentions when creating a place imbued with placeness.

Cutaneous leishmaniasis (CL) is a disease transmitted by mosquitoes and is endemic in many regions of the world and Iran, and annually imposes a large burden on the health system. This study was conducted to identify the effective factors in the preventive behaviors of CL based on the BASNEF model in endemic areas in the northwest of Iran. This cross-sectional study was conducted in Bileh-Savar, \'endemic areas of Ardabil Province, Iran\', from June 2022 to October 2022. 200 non-patients were included in the study by a multi-stage sampling method. A standard questionnaire based on the BASNEF model was applied for data collection. The data were analyzed using SPSS version 25. Means and standard deviations were calculated to describe the continuous variables, and multivariate linear regression analysis was used to determine the prediction of intention and behavior by the model structures. The BASNEF constructs predict 27% of behavioral intention changes. Among the constructs, attitude has a greater contribution in predicting changes (R2 = 0.27, p < 0.01). Also, the results showed that the BASNEF constructs predict 23% of behavior changes. Among the constructs, enabling factors have a greater contribution to predicting changes (R2 = 0.23, p < 0.01). This finding shows that behavior is more influenced by environmental factors, and educational interventions based on behavior change models, along with providing environmental conditions, can facilitate behavior change.

UNASSIGNED: To assess the Behavioral Intention Predictive Framework\'s utility in explaining variation in cancer patients\' strong behavioral intention (SBI) to use LEAPS (Listen, Educate, Assess, Partner, Support) communication skills after viewing training videos.
UNASSIGNED: Ninety-eight patients were enrolled through anonymized online platforms to view LEAPS training videos, complete background and communication questionnaires and report their SBI to use LEAPS skills.
UNASSIGNED: On average, patients indicated SBI to use 6 of 13 skills and 46% of patients expressed SBI across individual skills. The framework explained 27.7% of the adjusted variance in SBI with significant predictors of frequent past use of LEAPS-related shared decision-making behaviors, poor emotional health, being rarely accompanied to visits and positive ratings of narrative videos. Finally, 21.7% of the adjusted variance in problem communication was explained by infrequent use of LEAPS-related information behaviors, patient accompaniment of another adult and positive narrative scores.
UNASSIGNED: Patients SBI to use multiple LEAPS skills and past problem communication were explained by framework predictors.
UNASSIGNED: Despite theoretical and empirical evidence that behavioral intention significantly predicts behavior, it has not been studied in patient communication research. Application of the novel framework to LEAPS training videos contributes an innovative address of this research gap.